PyTorch Library for Quantitative Finance
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Updated
Oct 6, 2024 - Python
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
PyTorch Library for Quantitative Finance
Visualizer for neural network, deep learning and machine learning models
MIT CS224n
Controllable and fast Text-to-Speech for over 7000 languages!
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Learning Rate Warmup in PyTorch
High-performance automatic differentiation of LLVM and MLIR.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
[EMNLP 2024] ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Doing devious stuff with audio
Medical imaging toolkit for deep learning
MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.
GPT-powered chat for documentation, chat with your documents
Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 1 month ago